Information Retrieval

Also known as IR

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38 papers in the last four weeks, up 111% on the four weeks before. 0.4% of all new papers.

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Latest papers 314

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Benchmarking Patent Embeddings: A Multi-Task Evaluation of 22 Models Across Retrieval, Classification, and Clustering
May 22, 2026Amirhossein Yousefiramandi, Ciaran CooneyLegal IR Clustering
Clarivate, Intellectual Property Barcelona, Spain 08025
HARNESS-LM: A Three-Phase Training Recipe for Harnessing SLMs in Sponsored Search Retrieval
May 22, 2026Vipul Gupta, Shikhar Mohan, Lakshya Kumar +4Online Advertising Small Language Models
Microsoft AI India
U-CESE: Unified Clip-based Event Search Engine for AI Challenge HCMC 2025
May 22, 2026Duc-Nhuan Le, Hoang-Phuc Nguyen, Thanh-Duy Lam +2Multimodal IR Information Retrieval
Faculty of Information Technology, University of Science, VNU-HCM · Vietnam National University, Ho Chi Minh City, Vietnam
Evaluation of Chunking Strategies for Effective Text Embedding in Low-Resource Language on Agricultural Documents
May 21, 2026Sovandara Chhoun, Pichdara Po, Sereiwathna Ros +2Document Chunking Multilingual IR
Department of Big Data, Chungbuk National University, Cheongju-si, South Korea · Department of Computer Science, Chungbuk National University, Cheongju-si, South Korea · BigDataLabs Co., Ltd. Department of Management Information Systems, Chungbuk National University, South Korea
Beyond Semantic Similarity: A Two-Phase Non-Parametric Retrieval Workflow for Corporate Credit Underwriting
May 20, 2026Linus Ng Junjia, Ezekiel Tee Kongquan, Kelvin Heng +2Financial Services Retrieval-Augmented Generation
OCBC, Singapore · 2Georgia Institute of Technology.
Stage-Audit: Auditable Source-Frontier Discovery for Cross-Wiki Tables
May 19, 2026Chen ShenData Provenance LLM Auditing
Megagon Labs
MINTEval: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems
May 18, 2026Hyunji Lee, Justin Chih-Yao Chen, Joykirat Singh +3Agent Memory Long-Horizon Agent Evaluation
UNC Chapel Hill · The University of Texas at Austin
Improving BM25 Code Retrieval Under Fixed Generic Tokenization: Adaptive q-Log Odds as a Drop-In BM25 Fix
May 18, 2026Santosh Kumar Radha, Oktay GoktasInformation Retrieval
AgentField
Infini-News: Efficiently Queryable Access to 1.3 Billion Processed Common Crawl News Articles
May 18, 2026Ruggero Marino Lazzaroni, Jana Lasser, Kirill SolovevInformation Retrieval
University of Graz, Austria
PIPER: Content-Based Table Search via profiling and LLM-Generated Pseudoqueries
May 18, 2026Riccardo Terrenzi, Matteo Falconi, Serkan Ayvaz +1Information Retrieval Table Retrieval
Centre for Industrial Software, University of Southern Denmark, Sønderborg, Denmark · Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy
What Matters for Grocery Product Retrieval with Open Source Vision Language Models
May 18, 2026Emmanuel G. Maminta, Rowel O. AtienzaVLM Evaluation Fine-Grained Image Retrieval
AI Graduate Program, University of the Philippines, Diliman, Quezon City · EEEI, University of the Philippines, Diliman, Quezon City
Towards Sustainable Growth: A Multi-Value-Aware Retrieval Framework for E-Commerce Search
May 18, 2026Yifan Wang, Yixuan Wang, YiDan Liang +2Cold-Start Recommendation E-Commerce Search
Taobao & Tmall Group of Alibaba · HangZhou, China
MARQUIS: A Three-Stage Pipeline for Video Retrieval-Augmented Generation
May 17, 2026Debashish Chakraborty, Dengjia Zhang, Jialiang Jin +7Multimodal RAG Retrieval-Augmented Generation
Johns Hopkins University · Human Language Technology Center of Excellence
GRASP: Graph Agentic Search over Propositions for Multi-hop Question Answering
May 15, 2026Stockton Jenkins, Ramya Korlakai Vinayak, Junjie HuMulti-Hop QA Graph Retrieval-Augmented Generation
University of Wisconsin-Madison
Policy-Grounded Dynamic Facet Suggestions for Job Search
May 15, 2026Dan Xu, Baofen Zheng, Qianqi Shen +11Learning to Rank Information Retrieval
LinkedIn Corporation · Mountain View, CA, USA
XSearch: Explainable Code Search via Concept-to-Code Alignment
May 15, 2026Yiming Liu, Ruofan Liu, Yun Lin +7OOD Generalization Information Retrieval
Shanghai Jiao Tong University, China · Shanghai Innovation Institute, China · National University of Singapore, Singapore +3
Is Grep All You Need? How Agent Harnesses Reshape Agentic Search
May 14, 2026Sahil Sen, Akhil Kasturi, Elias Lumer +2Agentic Search LLM Agent Evaluation
PricewaterhouseCoopers, U.S.
From Scenes to Elements: Multi-Granularity Evidence Retrieval for Verifiable Multimodal RAG
May 14, 2026Guanhua Chen, Chuyue Huang, Yutong Yao +4Multimodal RAG Multimodal Grounding
NLP2CT Lab, Department of Computer and Information Science, University of Macau
A Picture is Worth a Thousand Words? An Empirical Study of Aggregation Strategies for Visual Financial Document Retrieval
May 14, 2026Ho Hung Lim, Yi YangMulti-Vector Retrieval Information Retrieval
The Hong Kong University of Science and Technology
Efficient Generative Retrieval for E-commerce Search with Semantic Cluster IDs and Expert-Guided RL
May 14, 2026Jianbo Zhu, Xing Fang, Jing Wang +5Semantic ID Recommendation E-Commerce Search
Taobao & Tmall Group of Alibaba Hangzhou, China
VectorSmuggle: Steganographic Exfiltration in Embedding Stores and a Cryptographic Provenance Defense
May 13, 2026Jascha WangerData Provenance Information Retrieval
ThirdKey / Tarnover, LLC
Scaling Retrieval-Augmented Reasoning with Parallel Search and Explicit Merging
May 13, 2026Jiabei Liu, Wenyu Mao, Junfei Tan +4Multi-Hop QA Agentic RAG
University of Science and Technology of China · WeChat Technical Architecture Department, Tecent Inc.
KadiAssistant: A conversational AI Agent for information retrieval in Kadi4Mat
May 13, 2026Adrian Cierpka, Mohammad Shafiqul Islam, Johannes Steinhülb +3Conversational Search Information Retrieval
Karlsruhe Institute of Technology
RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search
May 13, 2026Tingyu Chen, Wenkai Zhang, Li Gao +4Temporal IR Information Retrieval
Baidu Inc. Beijing, China
PRISM: Pareto-Efficient Retrieval over Intent-Aware Structured Memory for Long-Horizon Agents
May 12, 2026Jingyi Peng, Zhongwei Wan, Weiting Liu +1Graph-Based Retrieval Information Retrieval
Singapore Management University · The Ohio State University · Fudan University
Much of Geospatial Web Search Is Beyond Traditional GIS
May 11, 2026Ilya Ilyankou, Stefano Cavazzi, James HaworthInformation Retrieval
SpaceTimeLab, Department of Civil, Environmental, and Geomatic Engineering, UCL, London, UK · Ordnance Survey, Southampton, UK
Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient?
May 11, 2026Tz-Huan Hsu, Jheng-Hong Yang, Jimmy LinTool-Augmented Language Model Agents Agentic Search
University of Waterloo · Stencilzeit
Re $^2$ Math: Benchmarking Theorem Retrieval in Research-Level Mathematics
May 9, 2026Zicheng Lyu, Wenjie Yang, Shengzhong Zhang +1Mathematical Reasoning Benchmarks LLM Evaluation
Fudan University Shanghai, China · Nanjing University of Aeronautics and Astronautics Nanjing, Jiangsu, China · Fudan University Shanghai Innovation Institute Shanghai, China
Do not copy and paste! Rewriting strategies for code retrieval
May 8, 2026Andrea Gurioli, Federico Pennino, Maurizio GabbrielliQuery Reformulation Information Retrieval
DISI University of Bologna
LARAG: Link-Aware Retrieval Strategy for RAG Systems in Hyperlinked Technical Documentation
May 8, 2026Giorgia Bolognesi, Claudio Estatico, Ulderico Fugacci +3Document Understanding Retrieval-Augmented Generation
1Rulex s.r.l., Genova, Italy · Department of Mathematics (DIMA), University of Genoa, Italy · Institute of Applied Mathematics and Information Technologies “Enrico Magenes” (IMATI), National Research Council, Italy +1

May 22, 2026, cs.IRJ/K move · Enter open · S save

Benchmarking Patent Embeddings: A Multi-Task Evaluation of 22 Models Across Retrieval, Classification, and Clustering

Amirhossein Yousefiramandi, Ciaran Cooney

Clarivate, Intellectual Property Barcelona, Spain 08025

Legal IR Clustering Text Embedding Evaluation Text Classification Information Retrieval IR Evaluation

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Two questions regarding practitioners' use of patent embeddings arise: (i) Does one fine-tuning recipe suffice for all downstream applications? (ii) Is fine-tuning on one patent landscape sufficient for downstream application on other landscapes? By evaluating 22 pre-trained embedding models (ranging from 22M to 12B parameters) on three tasks -- information retrieval, classification, and clustering -- on 113,148 WIPO patents for assistive technology (46,069 citation queries) and on an external DAPFAM dataset, we find that two results cast doubt on the prevailing wisdom. (i) The optimal fine-tuning recipe depends on the downstream task: cross-sectional alignment (recipe R3) provides the largest improvements to retrieval performance (+7.1% nDCG@10), whereas a combined signal recipe (recipe R4) is better suited to classification (+7.1 F1) and clustering (+10.9 V-measure); a matched data control confirms that differences in training dataset size are not a contributing factor. (ii) Single-landscape fine-tuning hampers cross-landscape information retrieval: fine-tuning on one landscape significantly degrades cross-domain retrieval for 5 of 8 model-recipe combinations on the DAPFAM corpus, with the stronger zero-shot models suffering most. While within-family scaling is consistent (Qwen3 0.6B->4B->8B; Llama-Nemotron 1B->8B), cross-family scaling is erratic; the 12B KaLM-Gemma3 is ranked 8th on TAC retrieval performance, following prefix modification. Title+Abstract+Claims is the ubiquitous best text view, and all models suffer from a 55-65% gap between IN and OUT-of-domain performance which cannot be mitigated by hybrid BM25-dense fusion. Code and evaluation framework are publicly available.

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Latest papers 314